Before we explore how to learn python to get into data science, let us first understand python, why we choose python as the most suitable for solving Data Science/Data Analytics problems. If you want to learn python online face to face or offline in Dubai, then join Python Course Dubai. You can start from basic Python and then move on to the advanced version.

What is Python?

Python is interpreted, Object Oriented (based around data) high-level (easier for humans to understand) Programming language with dynamic semantics, it is widely used for:

• Web Development (as backend language).
• Software development
• Complex Mathematical Problems.
• Game Development.
• Finance etc.

Beside these it has wide popularity in Data Science i.e. data visualization, AI and Machine learning etc.

Some Famous Websites built using Python

• Instagram
• Google
• Netflix
• Pinterest
• Uber
• Spotify
• reddit
• Lyft

Why Python is used in Data Science?

When it comes to Data Science, We need some sort of programming language or tool, like Python, although there are other tools for data science like R and MATLAB but why we choose Python over other languages, we will discuss in this blog. Data Science deals with a large amount of Data (often called Big Data), its main function in companies is to help in decision making, How the company decides its working/growth that wholly depends on its past experience data. In that sense, as everything in the modern world is fast, the data scientist must be fast too. So, he/she doesn’t have time to program 30 classes in Java just to extract some information from a database. Therefore the use of effective libraries in Python makes everything efficient and easier.

Why choose Python for Data Science over other languages?

1. Easy to learn: It is the most user-friendly, simple and easy to learn as compared to other data science programming languages. Due to its user-friendly nature, anyone or everyone can learn it in a couple of hours or days (no wonder!).

2. Go-to language: It is the most popular and widely used data science language and is among the first things recruiters search for in a data Scientist’s Skill set.

3. Scalability: Unlike other programming languages, such as R, Python excels greater when it comes to scalability, it is faster than other languages like MATLAB and Stata. Among all available languages, Python is the leader in scaling.

4. High in Demand: As python became a solution in many different areas, Python programmers/developers are in high in demand. If you have the right skills, you can land ample of Jobs in 2021.

5. Libraries and Frameworks: It has hundreds of different libraries and frameworks. Using these libraries, one can do almost everything to solve data Science problems.

Some of the python libraries are:

1. Matplotlib: Matplotlib is the most popular library for exploration and data visualization in Python.
2. Plotly: It is a free and open source data visualization library, used for drawing interactive charts i.e. Boxplot, heatmaps, bubble charts etc.
3. Seaborn: Seaborn is based on Matplotlib, it supports high-level interface for drawing attractive and informative statistical graphs.
4. Pandas: It is great for data analysis and data handling. Pandas provides data manipulation control.
5. NumPy: It is a free library for numerical computing. It provides high-level math functions along with data manipulations.
6. SciPy: This library is related to scientific and technical computing. SciPy can be used for data optimization and modification, algebra, special functions, etc.
7. PyTorch: It is the best deep learning framework for Data Science enthusiasts. Provides maximum flexibility and speed.

6. Jobs and Growth: Due to its versatility, it opens multiple career opportunities for Data Scientists. Jobs waiting for a good python programmers/developers are:

Jobs waiting for a good python programmers/developers are:

• Python Developer
• Product Manager
• Educator
• Financial Advisors
• Data Journalist

7. Python Developer Salary in Data Science: The Average Python Developer Salaries in the world range from $110,840 per year to $52,857 per year.

Look at these Stats:

Advantages and Disadvantages of Python

Pros

• Versatile, easy to use and fast to develop
• Open source with a vibrant community
• Has all the libraries you can imagine
• Great for prototypes – You can do more with less code
• Productivity

Cons

• Speed limitations
• Problems with threading
• Not native to mobile environment
• Memory consumption

Steps that will take you to Data Analytics

• Learn the basics of Python language.
• Learn Regular Expressions in Python.
• Learn Scientific libraries in Python – NumPy, SciPy, Matplotlib and Pandas.
• Effective Data Visualization and Analysis.

Let us try and do one Program:

In this programming we are using Jupyter Notebook where we code in python using its one of the famous libraries i.e. Matplotlib to show Simple Line Graph.

Some Data Science Applications and Examples

• Identifying and predicting disease.
• Automating digital Ad placement.
• Optimizing Shipping routes in real-time.
• Personalized healthcare recommendations.
• Business Logistics.

Wrap Up

To conclude Python can be said to be one of the very high in demand languages for designations like:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Machine Learning Scientist
• Applications Architect
• Data Architect
• Enterprise Architect
• Infrastructure Architect

The requirement for these positions is also soaring. So, do not wait and start learning Python at Rolla Academy Dubai.

Business Name: Rolla Academy Dubai

Our Address: Al Tawhidi Building – 201 – 2 Al Mankhool Road – Dubai – United Arab Emirates

Contact: +971507801081
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